Data Engineer

Data Engineer

Bewerbung hochladen merken An internationally operating technology-driven trading firm is looking for a Data Engineer to join its engineering team. The company develops and operates high-performance systems for processing, analyzing, and leveraging large-scale market and trading data in fast-paced, data-intensive environments. Working closely with engineers, researchers, and quantitative specialists, you will contribute to the development of scalable data platforms and pipelines that support business-critical operations and decisionmaking processes. Aufgaben Data Scientist/Data Analyst/Data Engineer Region Innerschweiz Ortschaft Zug REF Nr 2J6O69

Stellenbeschreibung

Design, develop, and maintain scalable data pipelines for market, trading, and transactional data Build and operate both batch and real-time streaming data processing solutions Integrate new data sources, exchanges, and platforms into existing data ecosystems Collaborate closely with engineering, research, and business teams to deliver efficient and reliable data solutions Optimize data infrastructure for performance, scalability, and resilience Contribute to the development of high-availability, low-latency systems Ensure data quality and automate data processing workflows where possible

Anforderungsprofil

Master's degree in Computer Science, Mathematics, Physics, or a related technical discipline Professional experience in Data Engineering, Big Data, or large-scale data processing environments Strong knowledge of modern data technologies such as Kafka, Flink, ClickHouse, or similar platforms Experience with cloud-native infrastructure and container orchestration technologies, ideally Kubernetes Strong programming skills in Java or Scala and Python; experience with C++ is considered a plus Interest in data-driven systems, distributed architectures, and high-performance environments Strong analytical and problem-solving skills with a structured and hands-on approach Fluent English communication skills, both written and spoken

Perspektive

Opportunity to work on modern, large-scale data platforms in a highly technical environment Close collaboration with experienced engineers, researchers, and domain experts Flat hierarchies, short decision-making processes, and significant ownership from day one International and collaborative company culture focused on innovation and continuous learning Exposure to challenging real-time data processing and distributed systems problems Long-term career opportunities within a technology-focused and growth-oriented organization Bewerbung hochladen { "@context": " "@type": "JobPosting", "title": "Data Engineer", "description": "An internationally operating technology-driven trading firm is looking for a Data Engineer to join its engineering team. The company develops and operates high-performance systems for processing, analyzing, and leveraging large-scale market and trading data in fast-paced, data-intensive environments. Working closely with engineers, researchers, and quantitative specialists, you will contribute to the development of scalable data platforms and pipelines that support business-critical operations and decisionmaking processes.

Stellenbeschreibung:
Design, develop, and maintain scalable data pipelines for market, trading, and transactional data; Build and operate both batch and real-time streaming data processing solutions; Integrate new data sources, exchanges, and platforms into existing data ecosystems; Collaborate closely with engineering, research, and business teams to deliver efficient and reliable data solutions; Optimize data infrastructure for performance, scalability, and resilience; Contribute to the development of high-availability, low-latency systems; Ensure data quality and automate data processing workflows where possible Anforderungsprofil: Master's degree in Computer Science, Mathematics, Physics, or a related technical discipline; Professional experience in Data Engineering, Big Data, or large-scale data processing environments; Strong knowledge of modern data technologies such as Kafka, Flink, ClickHouse, or similar platforms; Experience with cloud-native infrastructure and container orchestration technologies, ideally Kubernetes; Strong programming skills in Java or Scala and Python; experience with C++ is considered a plus; Interest in data-driven systems, distributed architectures, and high-performance environments; Strong analytical and problem-solving skills with a structured and hands-on approach; Fluent English communication skills, both written and spoken Perspektive: Opportunity to work on modern, large-scale data platforms in a highly technical environment; Close collabora